Kong Inc.’s Post

It's not unknown that GenAI/ML is gaining momentum. So why be the forefront of putting this awesome technology to some good use? Check out what AWS is doing with this groundbreaking tech. And check out how you can be apart of it https://lnkd.in/gg6Xrcfa.

☑️ Develop a Generative AI application using AWS. Check out this video for a brief demonstration of AWS Bedrock, showcasing how to create the RAG application. ▶️ Watch this video

A starting point to explore building Generative AI apps on AWS with Amazon Bedrock. Apart from understanding Agents for Amazon Bedrock, the modules provide insights into architecture patterns, application components, and the efficient use of LangChain with foundation models.

Great presentation from Swami Sivasubramanian from #AWS #reInvent2023! Here are some highlights from the keynote: 1. Zero-ETL Integrations and Q Integration: AWS introduced #zeroETL integrations and a new integration with Q for faster data integration using natural language, revolutionizing the way data pipelines are created and maintained. 2. AWS #GenAI Innovation Center: AWS showcased the hands-on support for customizing AI/ML models and the launch of Amazon Bedrock, providing a broad set of capabilities for building and scaling GenAI applications. 3. Advancements in AI/ML and Customer Support: The introduction of new text and image generation models, along with the announcement of #Sagemaker Hyper Pods to reduce model training time by up to 40%. 4. Innovations in AI/ML and #CustomerSupport: AWS introduced innovative generative user interfaces and discussed the strong data foundation for GenAI, including a comprehensive and integrated set of services and tools to govern data across the end-to-end data workflow. 5. Amazon's Investment in Accelerating Performance and Integration of Data Services: AWS announced investment in accelerating performance of existing services with vector support and zero-ETL integrations across data stores for seamless data access and analysis. 6. Revolutionizing Cancer Care and AI-Powered Coding: AWS highlighted how GenAI technology is revolutionizing cancer care and AI-powered coding, with real-world examples from Rwanda and Toyota. The future of Generative AI is incredibly promising, and I'm thrilled to see the transformative impact it will have across various industries. #AWSreInvent2023 #GenerativeAI #AWS

Curious about how Generative AI using Amazon Web Services (AWS) Bedrock creates value for customers? Join us tomorrow, July 17, for the AWS User Group Meetup at the Austin AWS office. I will discuss Gen AI use cases to show how we drive customer success. Remember to sign up for the meetup. I look forward to seeing you there. NorthBay Solutions will provide food and drinks. See you tomorrow! #aws #generativeai #genai #meetup #northbay #bedrock #cloudjourney #digitaltransformation

Join us for the AWS Innovate: Generative AI virtual event on March 14th! Generative AI has enormous potential to fundamentally alter how institutions operate, educate and lead in the coming years. We also know, that institutions have the responsibility to ensure new technologies are leveraged in ways that ensure secure, safe, ethical and responsible use that advance the institution’s mission and priorities. This requires an enterprise approach to managing use cases and leveraging current and emerging capabilities in this fast moving space.

Since I shared this blog last week, I had several people ask "What is the infrastructure cost for each developer's environment?". Their obvious concern was how would this impact their budgets if they opened this up to 100s or 1000s of their developers. Estimated cost to run this is $5-9/month in AWS costs. If you open this up to 100 developers who will run this 24x7, it will set you back $500-$900 per month in infrastructure costs. Gen AI can be transformative for your business. Do not be left behind. Allow your developers to efficiently experiment with 100s of use cases for Generative AI

Infrastructure to power GenAI!

A powerful article in how the scale of Amazon continues to be used for good. In this case bringing together knowledge, resources, stability and a secure supply chain to support the rise of generative AI for more efficient cloud services for customers. A subtle reminder that Amazon has been using AI and ML for more than 25 years and through services of AWS has focused on bringing that knowledge to customers by putting ML into the hands of developers and data scientists everywhere. The fun part for me is the work that is supported by the vast hardware infrastructure and custom AI chips. My favorite quote from Prasad in this article, “There is no compression algorithm for experience and since we’ve been building large-scale data centers for more than 15 years and GPU-based (graphics processing units) servers for more than 12 years, we have a massive existing footprint of AI infrastructure.” Cheers to my network of Hardware Engineers, Commodity Managers, Logistics, Transportation and Warehousing roles, Manufacturing and Data Center Techs plus a vast range of software, hardware and physical security teams (+, +, +…)! Special recognition to my team of Technicians, Systems Support Engineers and Security for the work on behalf of Amazon to keep the AI infrastructure in use for longer by providing repair, testing and refurbishment services.

Dr. Swami Sivasubramanian, Vice President of Data and AI at AWS referencing some of the great, breakthrough work, that our HG Insights product team is doing in identifying organizations that are ready to undertake AI initiatives. HG Insights determines organizations AI readiness by looking at the size and make up of their data science team, their software stack, whether their infrastructure can handle the processing necessary for GenAI, and whether they are showing intent for hundreds of different AI signals we are tracking. https://lnkd.in/ghUKzYP6